MétaCan
Menu
Back to cohort
Record W4220830602 · doi:10.5194/egusphere-egu22-2211

Soil-sedimentation archives of floodplains and ravines as a memory of the natural-anthropogenic evolution of forest-steppe landscapes (Russia) in the Holocene

2022· preprint· en· W4220830602 on OpenAlexaff
С. А. Сычева, Ekaterina Ershova, Elena Ponomarenko, P. R. Pushkina, Sergey Sedov, А. N. Simakova, О. С. Хохлова

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicSoil and Environmental Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHoloceneRavineFloodplainGeologyPaleosolColluviumLandformSteppeSedimentationRadiocarbon datingPhysical geographyPleistoceneAlluvial plainArchaeologyHydrology (agriculture)SedimentAlluviumGeomorphologyPaleontologyGeographyLoess

Abstract

fetched live from OpenAlex

<p>The history of the development of landscapes and land-use systems on the northern border of the forest-steppe zone of Russia (basin of the Tuskar River, Kursk region) is reconstructed. A multidisciplinary approach includes geomorphological, lithological, paleopedological, micromorphological, radiocarbon, paleobotanical (spore-pollen, carpological, pedoanthrocological) analyzes in the study of soil-sedimentation archives of floodplains (Shumskaya section), slopes (Pereverzevo section), and ravines (Senovaya gully section). The sequences of sediments and soils within accumulative and trans-accumulative archives are one of the most complete and reliable sources of information not only about climate changes, the evolution of ecosystems in the Holocene but also about the history of land use.</p><p>The formation of a floodplain and a new ravine-gully network in the Late Ice Age backfilled the geomorphological basis for Holocene landscapes. Alluvium, proluvium, and colluvium partially filled the Late Pleistocene floodplain and ravine. In the early Holocene, with limited sedimentation, a well-developed soil, Luviс Gleyic Phaeozem, formed on the stable surface of the newly formed landforms. Its <sup>14</sup>C-age is 8.1-8.7 ka yrs cal BP. This paleosol is widespread not only in the forest-steppe area of the Russian Plain but throughout the world. At the beginning of the middle Holocene, during droughts, as a result of strong fires and increased erosion, this paleosol in the floodplains and bottoms of ravines was buried by alluvium and colluvium. An episode of afforestation of the area is also noted. The slopes were covered with deciduous forests with oak and linden. This led to the formation of Gleyic Cutanic Luvisol (Humic, Siltic), as evidenced by the humus-clay cutans in the Ah horizon and degradation of Phaeozem. Strong fires during droughts periodically resumed and were accompanied by a subsequent catastrophic increase in runoff and accumulation of colluvium in the bottoms of ravines. They happened around 8.1, 7.4, and 5.2 ka yrs cal BP, as evidenced by the finds of oak coals, and ferruginous-manganese nodules with a carbonaceous core in colluvial loams. The oak was preserved on the slopes, while other parts of the catchment were essentially treeless. In the late Holocene, the afforestation process intensified. However, about 2.8-2.5 ka years ago, arable farming began to spread in the studied area. In the immediate vicinity of the study site, there were settlements and numerous villages of the Scythian culture population. Deforestation and plowing of land with wooden ralo (ancient Slavic plow) caused slight soil erosion and accumulation of agro-colluvium in the bottoms of the ravines and on the floodplain. With the appearance of iron parts on wooden ralo, the plowing depth increased. Due to the increase of population since the beginning of the new era (4-5 centuries AD), the catchments were cleared for arable land. The onset of continuous erosion and intensive redeposition of the soil mass containing pollen of weeds and cultivated cereals correlates chronologically with the expansion of the population of the Chernyakhov culture into this region. Since that time, the agricultural use of the catchment area and anthropogenic deforestation has continued. The study was supported by the RFBR, project N19-29-05024mk.</p>

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.735

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.219
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same topicSoil and Environmental StudiesFrench-language works237,207